Multiscale modeling meets machine learning: What can we learn? PMC
There is, therefore, a pressing need to develop robust inverse methods that are capable of handling sparse data. One example is robust system identification, the creation of mathematical models of dynamical systems from measured experimental data. This naturally implies the optimal design of experiments to efficiently generate informative training data and iterative model refinement or…